A Two-stage Deep Domain Adaptation Method for Hyperspectral Image Classification

A Two-stage Deep Domain Adaptation Method for Hyperspectral Image Classification

Deep learning has attracted extensive attention in the field of hyperspectral images (HSIs) classification. However, supervised deep learning methods heavily rely on a large amount of label information. To address this problem, in this paper, we propose a two-stage deep domain adaptation method for...

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Bibliographic Details
Main Authors: Zhaokui Li, Xiangyi Tang, Wei Li, Chuanyun Wang, Cuiwei Liu, Jinrong He
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Remote Sensing
Subjects:
hyperspectral image classification
deep domain adaptation
spatial–spectral siamese network
mmd
convolutional neural network
Online Access:https://www.mdpi.com/2072-4292/12/7/1054

Internet

https://www.mdpi.com/2072-4292/12/7/1054

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